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What is retry pattern?
The retry pattern is an extremely important pattern to make applications and services more resilient to transient failures. A transient failure is a common type of failure in a cloud-based distributed architecture.
Is Polly thread safe?
With only a few lines of code, Polly can retry failed requests, cache previous responses, protect your resources, prevent you from making requests to broken services, terminate requests that are taking too long and return a default value when all else fails. It’s also thread safe and works on sync and async calls.
What is the meaning Retry?
1 transitive + intransitive : to try (something) again to see if it is successful, working, or satisfactory He retried downloading the program. Turn the device and the router off for at least ten seconds, then turn them back on and retry the connection.
When to use retry and circuit breaker patterns?
Circuit Breaker pattern. If a failure is expected to be more long lasting, it might be more appropriate to implement the Circuit Breaker pattern. Combining the Retry and Circuit Breaker patterns provides a comprehensive approach to handling faults. For most Azure services, the client SDKs include built-in retry logic.
When to use a retry pattern in an application?
Use this pattern when an application could experience transient faults as it interacts with a remote service or accesses a remote resource. These faults are expected to be short lived, and repeating a request that has previously failed could succeed on a subsequent attempt. This pattern might not be useful:
Why are retry patterns important in the cloud?
An application that communicates with elements running in the cloud has to be sensitive to the transient faults that can occur in this environment. Faults include the momentary loss of network connectivity to components and services, the temporary unavailability of a service, or timeouts that occur when a service is busy.
When to increase the number of retry attempts?
For a batch application, it might be more appropriate to increase the number of retry attempts with an exponentially increasing delay between attempts. An aggressive retry policy with minimal delay between attempts, and a large number of retries, could further degrade a busy service that’s running close to or at capacity.